| domain | scikit-learn.org |
| summary | Scikit-learn is a popular Python library for implementing machine learning algorithms. Version 0.16.1 includes extensive documentation that covers the core concepts and utilities of the library, as well as descriptions of specific functions used in machine learning tasks such as classification, regression, clustering, dimensionality reduction, model selection, preprocessing, and outlier detection. The Scikit-learn ecosystem also provides various extensions and tools to facilitate machine learning workflows, including packages like scikit-image for image processing and scikit-multilearn for multi-label classification tasks. |
| title | scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation |
| description | scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation |
| keywords | |
| upstreams |
polygon-software.ch |
| downstreams |
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| nslookup | A 185.199.108.153, A 185.199.111.153, A 185.199.110.153, A 185.199.109.153 |
| created | 2024-02-24 |
| updated | 2024-12-03 |
| summarized | 2025-01-28 |
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